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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Surface crack detection using deep learning with shallow CNN architecture for enhanced computation
Bubryur Kim, N. Yuvaraj, K. R. Sri Preethaa, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 15, pp. 9289-9305
Closed Access | Times Cited: 161

Showing 1-25 of 161 citing articles:

Crack detection of concrete structures using deep convolutional neural networks optimized by enhanced chicken swarm algorithm
Yang Yu, Maria Rashidi, Bijan Samali, et al.
Structural Health Monitoring (2022) Vol. 21, Iss. 5, pp. 2244-2263
Closed Access | Times Cited: 124
The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management
Vijendra Kumar, Hazi Mohammad Azamathulla, Kul Vaibhav Sharma, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10543-10543
Open Access | Times Cited: 100
Automatic Damage Detection and Diagnosis for Hydraulic Structures Using Drones and Artificial Intelligence Techniques
Yantao Zhu, Hongwu Tang
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 615-615
Open Access | Times Cited: 64
CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks
Shreyas Kulkarni, Shreyas Singh, Dhananjay Balakrishnan, et al.
Lecture notes in computer science (2023), pp. 179-195
Closed Access | Times Cited: 42
Artificial intelligence-assisted visual inspection for cultural heritage: State-of-the-art review
Mayank Mishra, Paulo B. Lourénço
Journal of Cultural Heritage (2024) Vol. 66, pp. 536-550
Open Access | Times Cited: 36
Stacked ensemble model for optimized prediction of triangular side orifice discharge coefficient
Mohamed Kamel Elshaarawy, Abdelrahman Kamal Hamed
Engineering Optimization (2024), pp. 1-31
Closed Access | Times Cited: 19
Deep learning for surface crack detection in civil engineering: A comprehensive review
Haiyan Zhuang, Yikai Cheng, Man Zhou, et al.
Measurement (2025), pp. 116908-116908
Closed Access | Times Cited: 2
Deep Learning-Based Near-Fall Detection Algorithm for Fall Risk Monitoring System Using a Single Inertial Measurement Unit
Ahnryul Choi, Tae Hyong Kim, Oleksandr Yuhai, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 2385-2394
Closed Access | Times Cited: 48
The classification and localization of crack using lightweight convolutional neural network with CBAM
Liujie Chen, Haodong Yao, Jiyang Fu, et al.
Engineering Structures (2022) Vol. 275, pp. 115291-115291
Closed Access | Times Cited: 48
Ensemble Machine Learning-Based Approach for Predicting of FRP–Concrete Interfacial Bonding
Bubryur Kim, Dong‐Eun Lee, Gang Hu, et al.
Mathematics (2022) Vol. 10, Iss. 2, pp. 231-231
Open Access | Times Cited: 44
Automated crack classification for the CERN underground tunnel infrastructure using deep learning
Darragh O 'Brien, John A. Osborne, Eliseo Perez-Duenas, et al.
Tunnelling and Underground Space Technology (2022) Vol. 131, pp. 104668-104668
Closed Access | Times Cited: 41
External Attention Based TransUNet and Label Expansion Strategy for Crack Detection
Jie Fang, Chen Yang, Yuetian Shi, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 10, pp. 19054-19063
Closed Access | Times Cited: 40
A Fast Inference Vision Transformer for Automatic Pavement Image Classification and Its Visual Interpretation Method
Yihan Chen, Xingyu Gu, Zhen Liu, et al.
Remote Sensing (2022) Vol. 14, Iss. 8, pp. 1877-1877
Open Access | Times Cited: 40
Assessment of Convolutional Neural Network Pre-Trained Models for Detection and Orientation of Cracks
Waqas Qayyum, Rana Ehtisham, Alireza Bahrami, et al.
Materials (2023) Vol. 16, Iss. 2, pp. 826-826
Open Access | Times Cited: 33
Deep Learning for Structural Health Monitoring: Data, Algorithms, Applications, Challenges, and Trends
Jing Jia, Ying Li
Sensors (2023) Vol. 23, Iss. 21, pp. 8824-8824
Open Access | Times Cited: 28
Neuro-heuristic analysis of surveillance video in a centralized IoT system
Dawid Połap
ISA Transactions (2023) Vol. 140, pp. 402-411
Closed Access | Times Cited: 25
Network for robust and high-accuracy pavement crack segmentation
Yingchao Zhang, Cheng Liu
Automation in Construction (2024) Vol. 162, pp. 105375-105375
Closed Access | Times Cited: 12
MultiScaleCrackNet: A parallel multiscale deep CNN architecture for concrete crack classification
R. Newlin Shebiah, S. Arivazhagan
Expert Systems with Applications (2024) Vol. 249, pp. 123658-123658
Closed Access | Times Cited: 10
Investigation of steel frame damage based on computer vision and deep learning
Bubryur Kim, N. Yuvaraj, Hee Won Park, et al.
Automation in Construction (2021) Vol. 132, pp. 103941-103941
Closed Access | Times Cited: 53
Deep convolutional neural network for diabetes mellitus prediction
Suja A. Alex, J. Jesu Vedha Nayahi, Harold D. Shine, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 2, pp. 1319-1327
Closed Access | Times Cited: 50
Automatic Pixel-Level Pavement Crack Recognition Using a Deep Feature Aggregation Segmentation Network with a scSE Attention Mechanism Module
Wenting Qiao, Qiangwei Liu, Xiaoguang Wu, et al.
Sensors (2021) Vol. 21, Iss. 9, pp. 2902-2902
Open Access | Times Cited: 41
Damage detection using in-domain and cross-domain transfer learning
Zaharah Bukhsh, Nils Jansen, Aaqib Saeed
Neural Computing and Applications (2021) Vol. 33, Iss. 24, pp. 16921-16936
Open Access | Times Cited: 41
Hyperspectral imaging with shallow convolutional neural networks (SCNN) predicts the early herbicide stress in wheat cultivars
Hangjian Chu, Chu Zhang, Mengcen Wang, et al.
Journal of Hazardous Materials (2021) Vol. 421, pp. 126706-126706
Closed Access | Times Cited: 41
Deep neural network-based structural health monitoring technique for real-time crack detection and localization using strain gauge sensors
Jiyoung Yoon, Jun-Hyeong Lee, Giyoung Kim, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 36
DcsNet: a real-time deep network for crack segmentation
Jie Pang, Hua Zhang, Hao Zhao, et al.
Signal Image and Video Processing (2022) Vol. 16, Iss. 4, pp. 911-919
Closed Access | Times Cited: 35
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